RomainLaroche / SPIBBLinks
Safe Policy Improvement with Baseline Bootstrapping
☆26Updated 5 years ago
Alternatives and similar repositories for SPIBB
Users that are interested in SPIBB are comparing it to the libraries listed below
Sorting:
- ☆92Updated last year
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆61Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- ☆99Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated 2 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Deep Variational Reinforcement Learning☆135Updated 3 years ago
- ☆43Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 5 months ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 3 years ago
- Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)☆19Updated 5 years ago
- ☆31Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- ☆54Updated last year
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago